Вакансии

Location: Sao Paolo Workplace: hybrid About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. We are seeking an Anti-Money Laundering Manager to lead our financial crime prevention and regulatory compliance efforts in Brazil. In this critical leadership role, you will act as the responsible for the Prevention of Money Laundering and Terrorist Financing. You will be exclusively responsible for overseeing regulatory reporting to the relevant Brazilian authorities, maintaining and implementing compliance policies, and managing all financial crime prevention activities. This role ensures that our operations meet all local regulatory requirements as we continue to scale our financial services and local payment capabilities in the region. What you will do: AML / CFT / Sanctions Compliance Act as the responsible Manager for PLD/FT, maintaining direct reporting lines to the Board of Directors/Executive Office as required by Brazilian law. Ensure effective AML/CTF/Sanctions compliance throughout the Brazilian business. Act as the primary reporting agent and correspondent to COAF (Conselho de Controle de Atividades Financeiras). Identify AML/CTF/Sanctions risks associated with business practices, products, and services in the Brazilian market. Maintain and further develop AML/CTF/Sanctions policies, programs, practices, and procedures to remain in compliance with current BACEN regulations, requirements of external partners, and best practices. Monitor developments and new trends in the Brazilian and international AML/CTF framework. Regulatory Compliance Be the central point of contact with the Central Bank of Brazil (BACEN) and other regulatory authorities for anti-money laundering and combating the financing of terrorism purposes. Ensure that the Brazilian business meets its regulatory requirements and mitigates AML/CTF/Sanctions risks to avoid breaches, fines, and regulatory sanctions. Oversee AML compliance regarding participation and membership with local and international payment systems and networks (such as PIX, Mastercard, Visa, Elo, etc.). Prepare periodic regulatory reports required by Brazilian legislation. Assist with regulatory inquiries and inspections, as well as internal and external audits. Transaction Monitoring & Reporting Identify, monitor, and formally report Suspicious Transaction Reports (STRs) to COAF. Continuously improve transaction monitoring systems to detect and report suspicious activities. Perform ad-hoc reviews to ensure the effectiveness of transaction monitoring processes and procedures. Customer KYC/KYB & Onboarding Oversee and manage the Know Your Customer (KYC) and Know Your Business (KYB) onboarding processes for new customers. Review and update KYC/KYB profiles for existing customers. Ensure compliance with local Brazilian and international regulatory requirements related to customer identification and verification. Training & Awareness Prepare and provide tailor-made AML/CTF/Sanctions training for the staff in Brazil. Provide actionable advice and assistance to other operational functions dealing with AML/CTF-related matters. Who we are looking for: 5+ years of effective working experience as an AML/CFT manager or Head of PLD/FT at a payment institution, credit institution, or EMI in Brazil. Regulatory Expertise: Deep, hands-on knowledge of Brazilian financial regulations, specifically BACEN and COAF rules (including Law No. 9,613/1998 and BCB Circular No. 3,978/2020). Experience liaising with bank partners, auditors, and financial regulators (BACEN), with the ability to handle regulatory inquiries, inspections, and audits. Solid experience in drafting, reviewing, and updating AML/CTF/Sanctions policies and procedures to reflect industry best practices and the evolving regulatory environment. Excellent analytical and organizational skills with strong attention to detail. Confidence to interact with individuals from all levels of the business and relevant external partners, including C-level executives. University degree in a relevant field. Language: Excellent English and Portuguese is an absolute must. Certification: CAMS or ICA certification is highly preferred and considered a strong bonus. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Remote-Friendly (Travel Required) | Canada About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. Responsibilities: Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts. Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms -Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly Marry the right projects, capital stacks and developers at the right stages Support the development of the long term data center supply strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization Expert in the Canadian Leasing Compute space It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Possess familiarity with data center developer ecosystems and market dynamics Have experience in high-growth technology companies managing infrastructure expansion Understand utility coordination, power procurement, or energy considerations in data center transactions Have a background in corporate development, strategic partnerships, or infrastructure investment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an experienced Seoul-based Public Policy expert to lead Anthropic’s policy engagement in South Korea. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Korean government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how Korea approaches AI regulation and safety during a critical period of governance development. As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Korea, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Seoul from the ground up. Key responsibilities Conduct comprehensive mapping of key Korean AI policy stakeholders and build strategic relationships with government officials, think tank researchers, and civil society leaders across the national and, where appropriate, sub-national governmental levels Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Korean context Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests Develop new programming and generate opportunities for Anthropic to regularly engage with Korean policymakers, think tanks, and non-profit organizations Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to the Korean regulatory environment Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in South Korea Minimum qualifications Preferred 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments Have a track record of effective, information-rich advocacy with Korean government authorities at the federal and/or state level Have experience analyzing legislation and engaging in regulatory processes Are energized by agency — you will be the first policy hire in Korea and will be building the operation from scratch Enjoy drafting and executing complex policy campaigns that move the needle Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information Excel at translating high-level vision into executable operational plans Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes Are fluent in Korean and English Preferred qualifications AI/technology industry experience (heavily preferred) Experience working with international companies or organizations Academic or think tank background in AI policy or related fields Experience in both government and private sector roles Familiarity with intelligence and security cooperation frameworks Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tbilisi, Georgia Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We are looking for a motivated and detail-oriented Talent Sourcer to join our Talent Acquisition team. You will work closely with TA Partners and Hiring Managers to understand hiring needs, develop effective sourcing strategies, and build strong candidate pipelines across Engineering, Product, Go-to-Market, Business, and other functions. You will identify and engage relevant talent, manage early candidate communication and qualification, and coordinate suitable candidates for their first conversation with our TA team. What You Will Do Partner with TA Partners and Hiring Managers on role requirements and sourcing strategy. Source and engage candidates for a variety of technical and business roles. Build and maintain targeted talent pipelines. Use LinkedIn Recruiter, Boolean and X-ray search, online communities, referrals, social platforms, and AI-enabled tools. Research relevant companies, markets, and niche talent pools. Keep candidate information and pipeline status up to date in our ATS. Share market insights and sourcing ideas with the TA team. What We Are Looking For Hands-on experience in talent sourcing or full-cycle recruitment, with the ability to independently build targeted candidate pipelines and engage relevant talent. Experience sourcing for technical, product, business, or go-to-market roles. Strong Boolean and X-ray search skills and confidence using various sourcing tools. Experience with complex, niche, or hard-to-fill searches is a plus. Practical use of AI tools for sourcing, research, or outreach. Strong candidate communication, organisation, and ownership. Strong written English. Russian is a plus. Hiring Process HR Interview (30 min) Live Case Task (1 hour) Chief of Staff Interview (45 min) CEO Call (30 min) 💼 Explore our hiring process What We Offer Please note, that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent). The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance. We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now! About the Opportunity We’re continuously meeting product design talent interested in shaping the future of centralized exchange products at OKX. Our CEX Product Design team works across Manual Trading, Trading Strategy, Social & VIP, Growth, and Institutional products. Depending on your experience, interests, and our current hiring needs, we’ll explore relevant opportunities across different teams and levels. We design products for complex, fast-moving financial environments. Our work spans high-frequency and high-consideration user journeys, data-dense interfaces, trading and investment decisions, social experiences, and products serving both individual and institutional customers. Designers partner closely with Product, Engineering, Research, Content Design, Data, and other functions from early exploration through delivery and iteration. We care about interaction quality and visual craft, but also expect designers to understand the product deeply, navigate constraints, and influence the decisions that shape the customer experience. Depending on team needs and your interests, your work may focus on: Manual Trading — helping customers discover markets, analyze information, place and manage trades, and understand their positions. Trading Strategy — designing tools and workflows that help customers create, discover, evaluate, and manage trading strategies. Social & VIP — building differentiated experiences for social trading, communities, creators, and high-value customers. Growth — improving acquisition, activation, engagement, retention, and cross-product discovery across the customer journey. Institutional — designing sophisticated, efficient, and trustworthy products for professional and institutional customers. What You’ll Be Doing The scope of the role will vary according to your experience and area of ownership. You may: Design clear, intuitive, and trustworthy experiences for complex and data-intensive products. Turn customer insights, product strategy, business goals, and technical constraints into coherent user journeys and detailed interactions. Work across the end-to-end design process, from problem framing and early exploration to prototyping, delivery, validation, and iteration. Create user flows, information architecture, wireframes, prototypes, and production-ready designs with a high level of interaction and visual craft. Partner closely with Product and Engineering to evaluate trade-offs, resolve ambiguity, and take work from concept through implementation. Use qualitative research, product analytics, experimentation, and market understanding to inform and evaluate design decisions. Present your work clearly, explain the reasoning behind your decisions, and use feedback to improve the outcome. Contribute to consistent, scalable experiences across platforms, markets, and product areas. Help strengthen design quality, collaboration, and customer-centered decision-making across the organization. At more senior levels, you’ll be expected to define product and design direction, lead ambiguous cross-functional initiatives, influence decisions across teams, and raise the quality of design practice. What We Look For In You Experience designing and delivering digital products. We hire across multiple levels, and assess experience according to the scope, complexity, autonomy, and impact demonstrated in your work. A portfolio that shows how you frame problems, explore alternatives, make decisions, craft interactions, and measure or evaluate outcomes—not only final screens. Strong product thinking and the ability to connect customer needs with business goals and technical realities. Strong interaction design and information architecture skills, especially for complex workflows or data-rich interfaces. A high standard of visual craft and attention to detail. Experience collaborating closely with Product and Engineering throughout the product development lifecycle. The ability to communicate clearly, explain your reasoning, and build alignment with cross-functional partners. Comfort working through ambiguity, changing priorities, and incomplete information. The ability to take ownership, follow through on details, and help teams turn ideas into shipped experiences. Genuine interest in learning about centralized exchange products and the customers who use them. Nice to Haves Experience designing products in trading, investment, fintech, crypto, or other complex financial domains. Experience with data-intensive products, professional tools, marketplaces, or high-stakes customer journeys. Experience using research, experimentation, and product analytics to guide design decisions. Experience designing for customers across multiple markets, cultures, languages, or regulatory environments. Experience contributing to or working with a mature design system across platforms. At senior or staff level, experience mentoring designers, leading cross-team initiatives, or raising design quality beyond your immediate product area. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-EW1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will be a strategic contributor to our cybersecurity marketing efforts, positioning Claude as the trusted AI partner for CISOs, security operations teams, threat intelligence analysts and beyond. This is an important role that requires deep understanding of the cybersecurity ecosystem combined with the ability to craft compelling positioning and messaging around AI's benefit to defenders and the organizations they protect. Working closely with sales, product, partnerships and communications teams, you'll be responsible for bringing cybersecurity launches, features, and messaging to market through various channels while ensuring cohesive positioning across audiences. This role needs someone who can set vision and strategy while being hands-on with execution, from launching product capabilities for security operations and sector-specific tools to quarterbacking demand generation campaigns that drive adoption. Working at the intersection of AI safety, the evolving threat landscape, and campaigns, you'll help shape industry conversations around AI's role in cyber defense that drive measurable pipeline and impact results. Key responsibilities Coordinate and execute a comprehensive marketing strategy for cybersecurity across key segments: enterprise security operations, threat intelligence, detection and response, governance/risk/compliance, MSSPs and more Craft differentiated positioning and messaging across solutions pages, campaign materials and content for distinct audiences within the vertical Support go-to-market for product and solution launches including sector-specific offerings and relevant MCP integrations and skills (SIEM, SOAR, EDR, threat intelligence platforms, etc.) Partner with the alliances team on joint go-to-market with cybersecurity partners, including shared positioning, launch coordination, and integrated campaign moments across security platform and services partners Partner with communications on executive thought leadership regarding AI's potential to tip the balance toward defenders, including flagship announcements in the context of key security initiatives Work with the social and content teams on a cybersecurity content calendar that highlights use cases, case studies, and partnership announcements Drive thought leadership initiatives and speaking / event opportunities relevant to the security community Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for security-led enterprise accounts Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications Have direct experience marketing software products to security audiences, including familiarity with how CISOs, SOC leaders, and security engineering teams evaluate and buy technology Thrive in a 0-to-1 environment — can build processes where none exist and navigate ambiguity across a complex stakeholder landscape Are an adaptable generalist with exposure and competency within multiple marketing functions (content, campaigns, social, analytics, sales enablement) Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for both technical practitioners and non-technical audiences Are a quick learner who can absorb context on security workflows, buyer dynamics, and compliance frameworks rapidly Excel at cross-functional collaboration — comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams Are passionate about AI's potential to strengthen cyber defense while maintaining focus on responsible, safe deployment Preferred qualifications Have 8+ years of marketing experience with at least 2 years of experience in cybersecurity, security operations, or the broader security technology space Have worked in or with security organizations and understand the distinct priorities and decision-making dynamics of security buyers Possess experience with event marketing at security conferences (e.g., RSA Conference, Black Hat, Gartner Security & Risk, ISAC events) Have a background in enterprise sales enablement, particularly in complex or regulated industries Show a track record of building marketing programs from scratch at a growth-stage company Demonstrate interest in the responsible deployment of AI in security contexts, including an awareness of the dual-use considerations unique to cybersecurity use cases Role-specific policy: For this role, we expect staff to be able to work from our Washington, D.C. or San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Abu Dhabi, United Arab Emirates Location: Dubai, UAE Employment Type: Full-time We are seeking an experienced and highly skilled Senior Barista to lead our coffee service team. The Senior Barista will be responsible for preparing premium quality beverages, supervising junior staff, and maintaining high standards of customer service and café operations. Key Responsibilities Prepare and serve a wide range of coffee and specialty beverages to the highest standard. Lead and mentor junior baristas, providing training and support. Manage inventory, order supplies, and ensure equipment is maintained. Ensure compliance with health and safety standards. Maintain cleanliness and organization of the coffee preparation area. Deliver exceptional customer service and resolve any issues promptly. Assist in developing new coffee recipes and beverage offerings. Requirements Minimum 3 years of experience as a barista, with at least 1 year in a senior or supervisory role. Excellent knowledge of coffee brewing techniques, equipment operation, and beverage preparation. Strong leadership and team management abilities. Outstanding customer service and communication skills. Ability to work efficiently in a fast-paced environment. Attention to detail and a passion for coffee quality. Positive attitude and problem-solving skills. Benefits Supportive team environment Training and skill development Competitive salary Visa support Medical insurance and other benefits

Location: Dubai, United Arab Emirates We are looking for a friendly and professional Salon Receptionist who is fluent in Russian and English to join our vibrant team. The Salon Receptionist will be the first point of contact for clients, responsible for managing appointments, handling inquiries, and ensuring a welcoming atmosphere in the salon. Key Responsibilities Greet and welcome clients with a warm and professional demeanor. Manage appointment bookings via phone, WhatsApp, and in-person. Handle client inquiries, provide accurate information about services, and assist with membership or service packages. Maintain the reception area, ensuring it is clean, organized, and presentable at all times. Manage product inventory and assist in sales of salon products. Record daily sales and assist with administrative tasks as needed. Coordinate with stylists and other staff to optimize appointment scheduling. Requirements Fluency in Russian and English languages. Previous experience as a receptionist or in customer service, preferably in a salon or beauty environment. Excellent communication and interpersonal skills. Proficiency in using appointment scheduling software and CRM systems. Organised, detail-oriented, and able to multitask effectively. Professional appearance and attitude. Benefits Competitive salary Ongoing training and development. Modern and well-equipped work environment. Opportunities for career growth within the Salon.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are looking for an experienced product research leader to support product development across WHOOP's hardware, wearables, algorithms, sensors, and advanced technology portfolio. You’ll manage a team of research staff that own end-to-end research for early-stage innovation, physical products and apparel, and algorithm development out of WHOOP Labs Boston. You will also contribute to the broader WHOOP Labs research strategy, bringing your research expertise to the Human Subjects Research leadership team. The ideal candidate brings experience leading researchers in a fast-paced technical product environment, with particular preference for experience supporting hardware, sensors, wearables, or other physical products through iterative development cycles. This position is in-person in Boston, MA 5 days per week with travel 2-3 times per year.   RESPONSIBILITIES - Develop, manage and scale the human subjects research team with an emphasis on professional development and coaching at multiple levels of seniority. - Champion research integrity, including ensuring that data collection tools and team practices are optimized for the fast-paced, complex nature of product innovation work. - Advocate for the needs of your team and their work to unlock high-volume, high-quality research on site at WHOOP Labs Boston. - Define and monitor key performance indicators (KPIs) to measure the effectiveness of program initiatives and track progress towards goals. - Collaborate closely with other research leaders to build a strong culture across WHOOP Labs and ensure strong ways of working between research execution and operations teams. - Partner with stakeholders across signal engineering, machine learning, hardware, apparel, and product to coach on working with HSR and facilitate effective collaboration between teams. - Champion of culture of team trust, support, and communication, emphasizing the complexities of conducting public-facing, high-engagement activities. - Partner with the Associate Director of Lab Operations and Associate Director of WHOOP Labs Doha to build the WHOOP Labs brand across the global organization. - Reports to the Sr. Director of Human Subjects Research QUALIFICATIONS - 5+ years of experience in a Research Manager, Research Lead, or similar human subjects research leadership role within a technical product development environment. - 2+ years of direct people management experience, with a demonstrated ability to coach and develop researchers across disciplines and levels. - Experience supporting research for consumer hardware, sensors, wearables, connected devices, or other physical products strongly preferred. - Familiarity with physical product development processes, including early-stage prototyping, iterative testing, hardware development timelines, and/or feasibility explorations. - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure research ROI and impact - Experience collaborating across multiple functions including engineering, privacy/legal, research, recruitment, and product. - Passion for building a strong team culture and coaching future research leaders. - Strong organizational, communication, and documentation skills. - Passion for health, wellness, and WHOOP’s mission. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $140,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. Outstanding written communication. This role leads through documents. Experience mentoring Staff, Principal or similarly senior technical professionals. Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. Shared data or ML platforms serving multiple products and organizational domains. Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. Experience translating research or emerging technology into production capabilities. Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role Set the technical direction for data and intelligence across PlayStation. Own the architecture behind experiences reaching more than 100 million people. Report directly to the VP and sit on the organization’s leadership team. Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. Work with strong Principal and Staff engineers, data scientists and product leaders across the company. Stay hands-on at the most senior IC level. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $304,200 — $456,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced Social Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day.  You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action. Key responsibilities Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria Own social escalations end-to-end during your coverage hours Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases Minimum qualifications 6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building) Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold Comfort coordinating across functions in real time and influencing partners without positional authority A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Field - New Jersey This is not a traditional Medical Director role. You’ll sit at the center of how Clover drives clinical quality, cost performance, and provider behavior change across our network—working directly with physicians to improve outcomes at scale. Your mandate is simple: turn data into action, and action into better care, better outcomes and more efficient care. You’ll partner with clinicians on the ground, using data, coaching, and technology ( Clover Assistant ) to influence how care is delivered—day to day, patient by patient. What you'll do: Partner directly with network physicians and care teams to improve quality, outcomes, and total cost of care Encourage network primary care physicians to refer patients to in-home care and other Clover Care Services when clinically appropriate, connecting patients with the care that best supports their needs and outcomes Identify performance gaps and translate data into clear, actionable clinical changes Coach providers (1:1 and group) on evidence-based care, documentation, and population health strategies Drive adoption and effective use of Clover Assistant in real clinical workflows Be the tip of the spear for implementation of clinical programs with partner providers Build trusted relationships with clinicians—serving as a peer advisor, not just a directive voice Collaborate routinely with fellow Medical Directors, account managers, Data Science, Operations, Analytics, and Provider Success to translate insights into coordinated action and align clinical and business goals Support and mentor market-level clinical leaders to drive performance across the network What winning looks like: Measurable improvement in clinical quality metrics and patient outcomes Reduction in total cost of care through better clinical decision-making Increased provider engagement and consistent use of Clover Assistant Providers change behavior—not just understand the data Strong, trusted relationships across the provider network Why this role is hard (and worth it): You’re influencing clinicians—without direct authority Changing clinical behavior is complex and requires trust, credibility, and persistence You’ll need to balance data, clinical judgment, and real-world constraints Your impact is highly visible—and directly tied to patient outcome Who you are: MD or DO with an active, unrestricted license; board certified (Primary Care preferred) Clinically credible with 5+ years of practice experience Experience in value-based care, population health, or risk-based models (MSO, ACO, MA) Proven ability to influence and coach peer clinicians Comfortable using data to drive clinical decisions and behavior change High comfort with EMRs, clinical tools, and technology-enabled care models Strong communicator who builds trust quickly with physicians and care teams Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-HYBRID Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $253,000 — $330,000 USD

Location: Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson provides multidisciplinary design services for some of the largest and most forward-thinking and desirable companies in the world to work for. The large hyperscale data center campuses we design throughout the U.S. will give you the opportunity to work on some of the largest and most complex engineering-driven projects being built today. Our clients are relationship based and truly value the work we do for them, affording us the opportunity to contribute to society’s technological and connected community through the design of the critical infrastructure that is the foundation of these projects. As a Mechanical Engineer on our Data Center team, you will be a part of the firm’s largest and most complex projects. You will serve as a project manager on some projects and lead design engineer on others. A typical day includes preparing planning and design documents, processing design calculations, and developing and maintaining team and client standards. You may lead quality assurance/quality control and act as an advisor on complex projects. You will also coordinate with other Olsson teams, professional staff, technical staff, clients, and other consultants. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: 6+ years of related mechanical engineering experience required PE licensure Project management experience preferred Proficient in Revit Ability to contribute and work well on a team Bachelor's degree in mechanical engineering Strong communication skills The typical annual salary range for this role is as listed below. Compensation may vary based on geographic location, experience, and qualifications. Employees in this role may be eligible for our performance‑based bonus and merit increases. National Pay Range $98,000 — $140,000 USD Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Senior Mechanical Engineer, you will work directly with some of the world’s largest technology companies and other mission-critical clients. You will serve as a mechanical engineer on projects, design calculations, write technical reports, and prepare documents. Experience in the Data Center industry is preferred. You will also coordinate with other Olsson teams, professional staff, technical staff, and clients. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills Project Management experience preferred Ability to contribute and work well on a team Bachelor's degree in mechanical engineering 10 - 15+ years of mechanical engineering experience Revit experience preferred Central utility experience preferred Data Center experience preferred Licensed PE Ability to be a self-starter to take on a variety of tasks to best serve the client and their project work Investigation and troubleshooting of problems to find solutions Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Turkey; Istanbul Workplace: onsite The international technology company Ajax Systems opens a full-cycle production facility in Türkiye. Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast. Location: Istanbul, DESBAS(Tuzla) Job Responsibilities: Prepare and update technological documentation (instructions, assembly schemes, route maps, quality standards), Support the development of production processes, equipment, and automation tools, Define and create technical requirements for devices, equipment, and special tools, Calculate material and energy consumption standards, and analyze process efficiency, Ensure continuous improvement of production processes, and actively participate in projects to enhance quality and productivity. Implement Lean Manufacturing, 5S, and Kaizen practices on the production floor Develop and lead cost-saving projects focused on continuous improvement Analyze and improve production processes to enhance overall efficiency Conduct line balancing studies to optimize production flow Perform productivity analyses and propose actions to increase production effectiveness Provide training to production staff on technical knowledge, processes, and improvement methods       Qualifications: Bachelor’s degree in a industrial engineering field, Minimum 3 years of experience in production processes (preferably in the electronics manufacturing sector), Experience in preparing technical documentation, process analysis, and optimization, Knowledge of automation and mechanization systems, Knowledge and hands-on experience in lean manufacturing principles, Good command of English (written and verbal), Strong analytical thinking, teamwork-oriented, and result-driven.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. About the Role: We're looking for a Partnerships Manager to help extend Anthropic's health work into US public health. Building on our existing global health portfolio, you'll help shape how we engage the US public health system and manage a set of partnerships across federal, state, and local levels. Because this is an emerging area for the team, the role blends partnership management with meaningful contribution to strategy. The right person combines credibility in the US public health ecosystem, enough technical fluency to be a real thought partner on AI deployment, and comfort operating in a space that's still taking shape. This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Partnership Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem. Responsibilities: Contribute to Anthropic's US public health strategy, working closely with the team lead to identify priority partners and use cases and bringing field insights back to inform our broader health work Own a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to deliver impact Source, evaluate, and onboard new partners; structure engagements that work within government procurement, data governance, and privacy constraints Translate partner needs into deployment plans that account for legacy systems and workforce realities Support the creation of shared resources and digital public goods that help the broader field use AI responsibly Build the evidence base by partnering with academic and evaluation organizations to study what works Represent Anthropic at public health convenings and with funders and policymakers Help shape team processes as we grow this area; hand off opportunities better suited to scaled sales or public sector motions Travel to partner sites and to SF headquarters every ~6 weeks for those based outside SF (~20% travel) You Might Be a Good Fit If You Have: 10+ years of experience in US public health, health policy, or public sector health innovation 5+ years managing external partnerships, multi-stakeholder initiatives, or programs that span government and civil society Deep relationships and credibility in the US public health ecosystem — you know the key players at CDC, state health departments, major schools of public health, and the foundations that fund this work A working understanding of how federal, state, and local public health agencies operate, fund programs, and adopt new technology Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Experience building programs or portfolios in early-stage environments where the playbook is still being written High agency and comfort with ambiguity; you thrive when the playbook doesn't exist yet A genuine drive to strengthen the public health system and the communities it serves An MPH or related credential Strong Candidates May Also Have: Experience inside a federal or state health agency (CDC, HHS, a state DOH) or at an organization that works closely with them Background in epidemiology, ideally with hands-on surveillance experience at a state, local, or federal health agency Experience working in a global context Experience at a healthtech company, AI organization, or in a product-adjacent role The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: 7-10+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.